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An Intelligent Battery Management System for an Electric Vehicle Powered by Solar PV Array 59

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An Intelligent Battery Management System for an Electric Veh...

59th International Universities Power engineering Conference, UPEC 2024

作者： Challoob, Ali Falih Bin Rahmat, Nur Azzammudin Ramachandaramurthy, Vigna K. Saeed, Nagham Humaidi, Amjad Jaleel Institute of Power Engineering Universiti Tenaga Nasional Strategic Planning Centre Malaysia School of Computing and Engineering University of West London London United Kingdom University of Technology Control and Systems Eng. Dept. Baghdad Iraq

ISBN: (纸本)9798350379730

Implementing a Battery Management System (BMS) in Electric Vehicles (EVs) offers several benefits that enhance the efficiency, security, and durability of the vehicle's battery system. The BMS oversees and controls the performance of each cell in the battery pack, guaranteeing that they function within predetermined voltage and temperature thresholds to maintain safety. In this paper, an intelligent BMS for an EV model powered by a solar PV array was proposed using a fuzzy logic (FL) controller. The proposed method was applied to EVs consisting of four Lithium-ion batteries. The simulation results are achieved using MATLAB/Simulink software. The estimation of the state of charge (SOC) for each battery was used as input to the FL which controls the discharging/ charging mode for each battery via power semiconductor switches. Three different scenarios are used to verify the suggested method. A full control FL operation was obtained, and the batteries were protected successfully against overcharging and over-discharging. © 2024 IEEE.

关键词： MATLAB

Advanced UVM-Based Verification Methodology for Consumer Electronics HW Design Evaluation and Validation

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Advanced UVM-Based Verification Methodology for Consumer Ele...

Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Marko Savić Nebojša Pjevalica Computing and Control Engineering Dept. Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia

ISBN: (数字)9798350349153

ISBN: (纸本)9798350349160

The rapid evolution of consumer electronics demands increasingly complex hardware devices supporting a wide range of consumer needs. Designing and verifying such solutions is becoming more challenging. This paper introduces an automated approach for assessing the efficacy of implemented digital systems. Leveraging these insights, the proposed methodology aims to guide HDL designers, enabling them to identify and rectify errors more effectively. The proposed methodology is tested on the example of a relatively simple digital design on a population of twenty designers. The achieved results expose a significant increase in performance and quality in a relatively short time interval.

关键词： Technological innovation Digital systems Sociology Hardware Hardware design languages Statistics Consumer electronics

Design of a Digital Phase Lead-and-Lag Voltage control based on Frequency Response Approach for Single-Phase Half-Bridge DC-AC Converters

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Design of a Digital Phase Lead-and-Lag Voltage Control based...

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Henrique Eissmann Buzzi Tiago Davi Curi Busarello Adriano Péres Dept. of Control Automation and Computing Engineering Federal University of Santa Catarina Blumenau Brazil

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Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation

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arXiv 2023年

作者： Islam, Mobarakol Seenivasan, Lalithkumar Sharan, S.P. Viekash, V.K. Gupta, Bhavesh Glocker, Ben Ren, Hongliang Dept. of Computing Imperial College London United Kingdom Dept. of Biomedical Engineering National University of Singapore Singapore Dept. of Electronics and Communication Engineering National Institute of Technology Tiruchirappalli India Dept. of Instrumentation and Control Engineering National Institute of Technology Tiruchirappalli India Dept. of Mechanical Engineering Indian Institute of Technology Delhi India Dept. of Electrical Engineering Shun Hing Institute of Advanced Engineering The Chinese University of Hong Kong Hong Kong

Purpose: In curriculum learning, the idea is to train on easier samples first and gradually increase the difficulty, while in self-paced learning, a pacing function defines the speed to adapt the training progress. While both methods heavily rely on the ability to score the difficulty of data samples, an optimal scoring function is still under exploration. Methodology: Distillation is a knowledge transfer approach where a teacher network guides a student network by feeding a sequence of random samples. We argue that guiding student networks with an efficient curriculum strategy can improve model generalization and robustness. For this purpose, we design an uncertainty-based paced curriculum learning in self-distillation for medical image segmentation. We fuse the prediction uncertainty and annotation boundary uncertainty to develop a novel paced-curriculum distillation (PCD). We utilize the teacher model to obtain prediction uncertainty and spatially varying label smoothing with Gaussian kernel to generate segmentation boundary uncertainty from the annotation. We also investigate the robustness of our method by applying various types and severity of image perturbation and corruption. Results: The proposed technique is validated on two medical datasets of breast ultrasound image segmentation and robotassisted surgical scene segmentation and achieved significantly better performance in terms of segmentation and robustness. Conclusion: P-CD improves the performance and obtains better generalization and robustness over the dataset shift. While curriculum learning requires extensive tuning of hyper-parameters for pacing function, the level of performance improvement suppresses this limitation. Copyright © 2023, The Authors. All rights reserved.

关键词： Distillation

An Intelligent Battery Management System for an Electric Vehicle Powered by Solar PV Array

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An Intelligent Battery Management System for an Electric Veh...

International Universities Power engineering Conference (UPEC)

作者： Ali Falih Challoob Nur Azzammudin Bin Rahmat Vigna K. Ramachandaramurthy Nagham Saeed Amjad Jaleel Humaidi Institute of Power Engineering Universiti Tenaga Nasional Strategic Planning Centre Malaysia School of Computing and Engineering University of West London London United Kingdom Control and Systems Eng. Dept. University of Technology Baghdad Iraq

ISBN: (数字)9798350379730

ISBN: (纸本)9798350379747

关键词： Fuzzy logic Lithium-ion batteries Battery management systems Electric vehicles Threshold voltage Software Temperature control State of charge MATLAB Voltage control

A Comparative Study of Three Meta-Heuristic MPPT Techniques for PV Systems Under Complex Partial Shading Conditions

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A Comparative Study of Three Meta-Heuristic MPPT Techniques ...

Australasian Universities Power engineering Conference, AUPEC

作者： Abdulbari Talib Naser Karam Khairullah Mohammed Nur Fadilah Ab Aziz Karmila Binti Kamil Saad Mekhilef Dept. of Electrical and Electronic Engineering University Tenaga Nasional Selangor Malaysia Dept. Control and Mechatronics Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Institute of Power Engineering (IPE) University Tenaga Nasional Selangor Malaysia School of Science Computing and Engineering Technologies University of Technology Melbourne VIC Australia

The energy generation performance of solar panels can be greatly influenced by partial shading conditions (PSCs). The phenomenon is ascribed to the presence of several maximum power points (MPPs) evident on the characteristic curves of power-voltage (P-V). These MPPs encompass diverse local peaks (LPs) along with a solitary global peak (GP). Traditional (MPPT) techniques fall short in precisely tracing the GP owing to the complex and nonlinear features of PV characteristic curves during instances of PSC. Hence, the adoption of MPPT techniques based on artificial intelligence (AI) becomes essential to effectively track the GP. In this research endeavor, three metaheuristic approaches for MPPT are investigated, namely the Team Game Algorithm (TGA), Gray Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). These algorithms are practically implemented, and their efficacy is experimentally validated while considering different solar irradiation levels while keeping the temperature constant. The experimental evaluation aims to compare the dynamic behavior of the photovoltaic (PV) array under various weather conditions. In contrast to other approaches, the TGA technique offers outstanding convergence capabilities, as shown by the experimental tests carried out in this study.

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Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots

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arXiv 2023年

作者： Berto, Letícia Costa, Paula Simões, Alexandre Gudwin, Ricardo Colombini, Esther Laboratory of Robotics and Cognitive Systems Institute of Computing University of Campinas Brazil Dept. of Computer Engineering and Industrial Automation School of Electrical and Computer Engineering University of Campinas Brazil Dept. of Control and Automation Engineering Institute of Science and Technology São Paulo State University Sorocaba Brazil University of Campinas Brazil

Humans have needs motivating their behavior according to intensity and context. However, we also create preferences associated with each action’s perceived pleasure, which is susceptible to changes over time. This makes decision-making more complex, requiring learning to balance needs and preferences according to the context. To understand how this process works and enable the development of robots with a motivational-based learning model, we computationally model a motivation theory proposed by Hull. In this model, the agent (an abstraction of a mobile robot) is motivated to keep itself in a state of homeostasis. We added hedonic dimensions to see how preferences affect decision-making, and we employed reinforcement learning to train our motivated-based agents. We run three agents with energy decay rates representing different metabolisms in two different environments to see the impact on their strategy, movement, and behavior. The results show that the agent learned better strategies in the environment that enables choices more adequate according to its metabolism. The use of pleasure in the motivational mechanism significantly impacted behavior learning, mainly for slow metabolism agents. When survival is at risk, the agent ignores pleasure and equilibrium, hinting at how to behave in harsh scenarios. Copyright © 2023, The Authors. All rights reserved.

关键词： Metabolism

MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs

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arXiv 2024年

作者： Gong, Junfeng Liu, Cheng Cheng, Long Li, Huawei Li, Xiaowei SKLP Institute of Computing Technology Chinese Academy of Sciences Beijing China Dept. of Computer Science University of Chinese Academy of Sciences Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

Mixed-precision neural network (MPNN) that utilizes just enough data width for the neural network processing is an effective approach to meet the stringent resources constraints including memory and computing of MCUs. Nevertheless, there is still a lack of sub-byte and mixed-precision SIMD operations in MCU-class ISA and the limited computing capability of MCUs remains underutilized, which further aggravates the computing bound encountered in neural network processing. As a result, the benefits of MPNNs cannot be fully unleashed. In this work, we propose to pack multiple low-bitwidth arithmetic operations within a single instruction multiple data (SIMD) instructions in typical MCUs, and then develop an efficient convolution operator by exploring both the data parallelism and computing parallelism in convolution along with the proposed SIMD packing. Finally, we further leverage Neural Architecture Search (NAS) to build a HW/SW co-designed MPNN design framework, namely MCUMixQ. This framework can optimize both the MPNN quantization and MPNN implementation efficiency, striking an optimized balance between neural network performance and accuracy. According to our experiment results, MCU-MixQ achieves 2.1× and 1.4× speedup over CMix-NN and MCUNet respectively under the same resource constraints. © 2024, CC BY-SA.

关键词： Convolution

IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA

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arXiv 2024年

作者： Jiang, Zesong Zhang, Qing Liu, Cheng Cheng, Long Li, Huawei Li, Xiaowei SKLP Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Advanced Technology University of Science and Technology of China Hefei China Dept. of Computer Science University of Chinese Academy of Sciences Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community. However, the growing complexity of these tools, characterized by numerous design parameters and heuristics, poses a significant barrier to their widespread adoption. This complexity is particularly pronounced in integrated circuit (IC) backend designs, which place substantial demands on engineers’ expertise in EDA tools. To tackle this challenge, we introduce IICPilot, an intelligent IC backend design system based on LLM technology. IICPilot automates various backend design procedures, including script generation, EDA tool invocation, design space exploration of EDA parameters, container-based computing resource allocation, and exception management. By automating these tasks, IICPilot significantly lowers the barrier to entry for open-source EDA tools. Specifically, IICPilot utilizes LangChain’s multi-agent framework to efficiently handle distinct design tasks, enabling flexible enhancements independently. Moreover, IICPilot separates the backend design workflow from specific open-source EDA tools through a unified EDA calling interface. This approach allows seamless integration with different open-source EDA tools like OpenROAD and iEDA, streamlining the backend design and optimization across the EDA tools. © 2024, CC BY-NC-SA.

关键词： Space research